Overview

Dataset statistics

Number of variables22
Number of observations5875
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1009.9 KiB
Average record size in memory176.0 B

Variable types

Numeric21
Categorical1

Alerts

motor_UPDRS is highly overall correlated with total_UPDRSHigh correlation
total_UPDRS is highly overall correlated with motor_UPDRSHigh correlation
Jitter(%) is highly overall correlated with Jitter(Abs) and 13 other fieldsHigh correlation
Jitter(Abs) is highly overall correlated with Jitter(%) and 13 other fieldsHigh correlation
Jitter:RAP is highly overall correlated with Jitter(%) and 12 other fieldsHigh correlation
Jitter:PPQ5 is highly overall correlated with Jitter(%) and 13 other fieldsHigh correlation
Jitter:DDP is highly overall correlated with Jitter(%) and 12 other fieldsHigh correlation
Shimmer is highly overall correlated with Jitter(%) and 12 other fieldsHigh correlation
Shimmer(dB) is highly overall correlated with Jitter(%) and 12 other fieldsHigh correlation
Shimmer:APQ3 is highly overall correlated with Jitter(%) and 12 other fieldsHigh correlation
Shimmer:APQ5 is highly overall correlated with Jitter(%) and 12 other fieldsHigh correlation
Shimmer:APQ11 is highly overall correlated with Jitter(%) and 13 other fieldsHigh correlation
Shimmer:DDA is highly overall correlated with Jitter(%) and 12 other fieldsHigh correlation
NHR is highly overall correlated with Jitter(%) and 13 other fieldsHigh correlation
HNR is highly overall correlated with Jitter(%) and 13 other fieldsHigh correlation
RPDE is highly overall correlated with Jitter(%) and 6 other fieldsHigh correlation
PPE is highly overall correlated with Jitter(%) and 13 other fieldsHigh correlation

Reproduction

Analysis started2023-12-03 14:45:16.558012
Analysis finished2023-12-03 14:46:07.809769
Duration51.25 seconds
Software versionydata-profiling vv4.6.1
Download configurationconfig.json

Variables

subject#
Real number (ℝ)

Distinct42
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.494128
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:07.888416image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q110
median22
Q333
95-th percentile41
Maximum42
Range41
Interquartile range (IQR)23

Descriptive statistics

Standard deviation12.372279
Coefficient of variation (CV)0.57561207
Kurtosis-1.2494738
Mean21.494128
Median Absolute Deviation (MAD)11
Skewness0.0029963516
Sum126278
Variance153.0733
MonotonicityIncreasing
2023-12-03T20:16:08.039481image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
29 168
 
2.9%
35 165
 
2.8%
41 165
 
2.8%
34 161
 
2.7%
7 161
 
2.7%
24 156
 
2.7%
5 156
 
2.7%
6 156
 
2.7%
9 152
 
2.6%
8 150
 
2.6%
Other values (32) 4285
72.9%
ValueCountFrequency (%)
1 149
2.5%
2 145
2.5%
3 144
2.5%
4 137
2.3%
5 156
2.7%
6 156
2.7%
7 161
2.7%
8 150
2.6%
9 152
2.6%
10 148
2.5%
ValueCountFrequency (%)
42 150
2.6%
41 165
2.8%
40 142
2.4%
39 143
2.4%
38 149
2.5%
37 140
2.4%
36 129
2.2%
35 165
2.8%
34 161
2.7%
33 135
2.3%

age
Real number (ℝ)

Distinct23
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.804936
Minimum36
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:08.184695image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile49
Q158
median65
Q372
95-th percentile78
Maximum85
Range49
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.8215237
Coefficient of variation (CV)0.13612426
Kurtosis0.67045524
Mean64.804936
Median Absolute Deviation (MAD)7
Skewness-0.37913342
Sum380729
Variance77.819281
MonotonicityNot monotonic
2023-12-03T20:16:08.303715image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
58 429
 
7.3%
66 422
 
7.2%
65 407
 
6.9%
57 385
 
6.6%
73 385
 
6.6%
68 317
 
5.4%
72 310
 
5.3%
59 299
 
5.1%
75 286
 
4.9%
67 283
 
4.8%
Other values (13) 2352
40.0%
ValueCountFrequency (%)
36 101
 
1.7%
49 256
4.4%
55 267
4.5%
56 140
 
2.4%
57 385
6.6%
58 429
7.3%
59 299
5.1%
60 156
 
2.7%
61 150
 
2.6%
62 236
4.0%
ValueCountFrequency (%)
85 142
 
2.4%
78 168
2.9%
76 144
 
2.5%
75 286
4.9%
74 271
4.6%
73 385
6.6%
72 310
5.3%
71 165
2.8%
68 317
5.4%
67 283
4.8%

sex
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.0 KiB
0
4008 
1
1867 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters5875
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 4008
68.2%
1 1867
31.8%

Length

2023-12-03T20:16:08.388333image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-03T20:16:08.507258image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
ValueCountFrequency (%)
0 4008
68.2%
1 1867
31.8%

Most occurring characters

ValueCountFrequency (%)
0 4008
68.2%
1 1867
31.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5875
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4008
68.2%
1 1867
31.8%

Most occurring scripts

ValueCountFrequency (%)
Common 5875
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4008
68.2%
1 1867
31.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5875
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4008
68.2%
1 1867
31.8%

test_time
Real number (ℝ)

Distinct2442
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.863722
Minimum-4.2625
Maximum215.49
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)0.2%
Memory size46.0 KiB
2023-12-03T20:16:08.590338image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum-4.2625
5-th percentile12.426
Q146.8475
median91.523
Q3138.445
95-th percentile175.5
Maximum215.49
Range219.7525
Interquartile range (IQR)91.5975

Descriptive statistics

Standard deviation53.445602
Coefficient of variation (CV)0.57552724
Kurtosis-1.1473772
Mean92.863722
Median Absolute Deviation (MAD)46.108
Skewness0.07772019
Sum545574.37
Variance2856.4324
MonotonicityNot monotonic
2023-12-03T20:16:08.691755image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119.34 15
 
0.3%
147.34 14
 
0.2%
133.39 12
 
0.2%
126.26 12
 
0.2%
126.42 12
 
0.2%
105.37 11
 
0.2%
133.77 11
 
0.2%
136.8 11
 
0.2%
168.39 11
 
0.2%
105.4 10
 
0.2%
Other values (2432) 5756
98.0%
ValueCountFrequency (%)
-4.2625 2
< 0.1%
-4.2618 1
< 0.1%
-4.2604 1
< 0.1%
-4.2597 2
< 0.1%
-3.3125 1
< 0.1%
-3.3118 2
< 0.1%
-3.3104 1
< 0.1%
-3.3097 2
< 0.1%
0.39583 1
< 0.1%
0.39653 2
< 0.1%
ValueCountFrequency (%)
215.49 6
0.1%
212.39 6
0.1%
208.53 6
0.1%
204.4 6
0.1%
202.43 6
0.1%
202.31 1
 
< 0.1%
202.3 5
0.1%
201.53 6
0.1%
198.36 6
0.1%
196.36 6
0.1%

motor_UPDRS
Real number (ℝ)

HIGH CORRELATION 

Distinct1080
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.296229
Minimum5.0377
Maximum39.511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:09.015579image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum5.0377
5-th percentile8.4671
Q115
median20.871
Q327.5965
95-th percentile35.0346
Maximum39.511
Range34.4733
Interquartile range (IQR)12.5965

Descriptive statistics

Standard deviation8.1292815
Coefficient of variation (CV)0.381724
Kurtosis-0.93752349
Mean21.296229
Median Absolute Deviation (MAD)6.326
Skewness0.075248279
Sum125115.34
Variance66.085218
MonotonicityNot monotonic
2023-12-03T20:16:09.126656image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 143
 
2.4%
12 131
 
2.2%
31 90
 
1.5%
18 82
 
1.4%
6 72
 
1.2%
17 69
 
1.2%
33.643 12
 
0.2%
10.949 12
 
0.2%
31.776 12
 
0.2%
29.797 12
 
0.2%
Other values (1070) 5240
89.2%
ValueCountFrequency (%)
5.0377 3
0.1%
5.0378 3
0.1%
5.1375 3
0.1%
5.1376 3
0.1%
5.437 1
 
< 0.1%
5.4371 5
0.1%
5.5373 6
0.1%
5.6372 6
0.1%
5.7377 6
0.1%
5.8371 6
0.1%
ValueCountFrequency (%)
39.511 6
0.1%
37.957 6
0.1%
37.664 6
0.1%
37.659 2
 
< 0.1%
37.658 4
0.1%
37.364 6
0.1%
37.298 3
0.1%
37.297 2
 
< 0.1%
37.282 3
0.1%
37.281 3
0.1%

total_UPDRS
Real number (ℝ)

HIGH CORRELATION 

Distinct1129
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.018942
Minimum7
Maximum54.992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:09.234074image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12.469
Q121.371
median27.576
Q336.399
95-th percentile47.257
Maximum54.992
Range47.992
Interquartile range (IQR)15.028

Descriptive statistics

Standard deviation10.700283
Coefficient of variation (CV)0.36873443
Kurtosis-0.35570353
Mean29.018942
Median Absolute Deviation (MAD)7.241
Skewness0.27105335
Sum170486.29
Variance114.49606
MonotonicityNot monotonic
2023-12-03T20:16:09.340615image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 109
 
1.9%
19 70
 
1.2%
7 54
 
0.9%
26.477 12
 
0.2%
40.91 12
 
0.2%
27.114 12
 
0.2%
26.218 12
 
0.2%
34.044 12
 
0.2%
20.491 12
 
0.2%
27.486 12
 
0.2%
Other values (1119) 5558
94.6%
ValueCountFrequency (%)
7 54
0.9%
7.0881 2
 
< 0.1%
7.0882 1
 
< 0.1%
7.0883 3
 
0.1%
7.0982 6
 
0.1%
7.1698 1
 
< 0.1%
7.1699 5
 
0.1%
7.2409 3
 
0.1%
7.241 3
 
0.1%
7.3119 6
 
0.1%
ValueCountFrequency (%)
54.992 6
0.1%
54.948 6
0.1%
54.868 6
0.1%
54.789 6
0.1%
54.727 6
0.1%
54.709 6
0.1%
54.63 6
0.1%
54.613 6
0.1%
54.556 6
0.1%
54.55 6
0.1%

Jitter(%)
Real number (ℝ)

HIGH CORRELATION 

Distinct1305
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0061537617
Minimum0.00083
Maximum0.09999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:09.450919image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.00083
5-th percentile0.00232
Q10.00358
median0.0049
Q30.0068
95-th percentile0.013416
Maximum0.09999
Range0.09916
Interquartile range (IQR)0.00322

Descriptive statistics

Standard deviation0.0056242283
Coefficient of variation (CV)0.91394964
Kurtosis67.496559
Mean0.0061537617
Median Absolute Deviation (MAD)0.00151
Skewness6.4518457
Sum36.15335
Variance3.1631944 × 10-5
MonotonicityNot monotonic
2023-12-03T20:16:09.563440image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0044 22
 
0.4%
0.00349 21
 
0.4%
0.00409 21
 
0.4%
0.00358 20
 
0.3%
0.00432 19
 
0.3%
0.00319 18
 
0.3%
0.00419 18
 
0.3%
0.00413 18
 
0.3%
0.00388 18
 
0.3%
0.00431 18
 
0.3%
Other values (1295) 5682
96.7%
ValueCountFrequency (%)
0.00083 1
< 0.1%
0.00084 1
< 0.1%
0.00085 1
< 0.1%
0.0009 1
< 0.1%
0.00093 1
< 0.1%
0.00106 1
< 0.1%
0.00109 1
< 0.1%
0.00113 1
< 0.1%
0.0012 1
< 0.1%
0.00121 1
< 0.1%
ValueCountFrequency (%)
0.09999 1
< 0.1%
0.09962 1
< 0.1%
0.08929 1
< 0.1%
0.08589 1
< 0.1%
0.08034 1
< 0.1%
0.07183 1
< 0.1%
0.06714 1
< 0.1%
0.06031 1
< 0.1%
0.05893 1
< 0.1%
0.05821 1
< 0.1%

Jitter(Abs)
Real number (ℝ)

HIGH CORRELATION 

Distinct4105
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4027118 × 10-5
Minimum2.25 × 10-6
Maximum0.00044559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:09.673903image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum2.25 × 10-6
5-th percentile1.1964 × 10-5
Q12.2435 × 10-5
median3.453 × 10-5
Q35.3335 × 10-5
95-th percentile0.000107826
Maximum0.00044559
Range0.00044334
Interquartile range (IQR)3.09 × 10-5

Descriptive statistics

Standard deviation3.5983359 × 10-5
Coefficient of variation (CV)0.81729988
Kurtosis18.155601
Mean4.4027118 × 10-5
Median Absolute Deviation (MAD)1.428 × 10-5
Skewness3.2830754
Sum0.25865932
Variance1.2948021 × 10-9
MonotonicityNot monotonic
2023-12-03T20:16:09.808206image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.182 × 10-57
 
0.1%
1.744 × 10-56
 
0.1%
1.549 × 10-56
 
0.1%
2.095 × 10-56
 
0.1%
3.101 × 10-56
 
0.1%
3.351 × 10-56
 
0.1%
1.318 × 10-56
 
0.1%
1.485 × 10-55
 
0.1%
4.536 × 10-55
 
0.1%
2.924 × 10-55
 
0.1%
Other values (4095) 5817
99.0%
ValueCountFrequency (%)
2.25 × 10-61
< 0.1%
2.3 × 10-61
< 0.1%
3.6 × 10-61
< 0.1%
3.61 × 10-61
< 0.1%
3.78 × 10-61
< 0.1%
3.79 × 10-61
< 0.1%
3.85 × 10-61
< 0.1%
3.88 × 10-61
< 0.1%
3.94 × 10-61
< 0.1%
4.01 × 10-61
< 0.1%
ValueCountFrequency (%)
0.00044559 1
< 0.1%
0.0003957 1
< 0.1%
0.00039089 1
< 0.1%
0.00038918 1
< 0.1%
0.00037926 1
< 0.1%
0.00036383 1
< 0.1%
0.00033771 1
< 0.1%
0.00032197 1
< 0.1%
0.00030553 1
< 0.1%
0.0002992 1
< 0.1%

Jitter:RAP
Real number (ℝ)

HIGH CORRELATION 

Distinct853
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0029871847
Minimum0.00033
Maximum0.05754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:09.913235image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.00033
5-th percentile0.00099
Q10.00158
median0.00225
Q30.00329
95-th percentile0.007029
Maximum0.05754
Range0.05721
Interquartile range (IQR)0.00171

Descriptive statistics

Standard deviation0.003123819
Coefficient of variation (CV)1.0457402
Kurtosis78.534581
Mean0.0029871847
Median Absolute Deviation (MAD)0.00079
Skewness6.945438
Sum17.54971
Variance9.758245 × 10-6
MonotonicityNot monotonic
2023-12-03T20:16:10.017365image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00193 37
 
0.6%
0.00119 35
 
0.6%
0.00208 34
 
0.6%
0.00201 30
 
0.5%
0.00175 30
 
0.5%
0.00178 30
 
0.5%
0.00135 30
 
0.5%
0.00164 30
 
0.5%
0.00181 28
 
0.5%
0.00169 28
 
0.5%
Other values (843) 5563
94.7%
ValueCountFrequency (%)
0.00033 1
< 0.1%
0.00034 1
< 0.1%
0.0004 2
< 0.1%
0.00042 1
< 0.1%
0.00043 1
< 0.1%
0.00045 2
< 0.1%
0.00046 1
< 0.1%
0.00048 1
< 0.1%
0.00049 1
< 0.1%
0.00052 2
< 0.1%
ValueCountFrequency (%)
0.05754 1
< 0.1%
0.05451 1
< 0.1%
0.05435 1
< 0.1%
0.04961 1
< 0.1%
0.04522 1
< 0.1%
0.04356 1
< 0.1%
0.03979 1
< 0.1%
0.03821 1
< 0.1%
0.02977 1
< 0.1%
0.02941 1
< 0.1%

Jitter:PPQ5
Real number (ℝ)

HIGH CORRELATION 

Distinct840
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0032768511
Minimum0.00043
Maximum0.06956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:10.131707image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.00043
5-th percentile0.00117
Q10.00182
median0.00249
Q30.00346
95-th percentile0.006903
Maximum0.06956
Range0.06913
Interquartile range (IQR)0.00164

Descriptive statistics

Standard deviation0.0037315364
Coefficient of variation (CV)1.1387568
Kurtosis81.566374
Mean0.0032768511
Median Absolute Deviation (MAD)0.00079
Skewness7.5862055
Sum19.2515
Variance1.3924364 × 10-5
MonotonicityNot monotonic
2023-12-03T20:16:10.237267image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00175 32
 
0.5%
0.00216 30
 
0.5%
0.00214 30
 
0.5%
0.00207 30
 
0.5%
0.0022 30
 
0.5%
0.00199 30
 
0.5%
0.00253 29
 
0.5%
0.00177 28
 
0.5%
0.00224 28
 
0.5%
0.00167 28
 
0.5%
Other values (830) 5580
95.0%
ValueCountFrequency (%)
0.00043 1
 
< 0.1%
0.00045 2
< 0.1%
0.00051 1
 
< 0.1%
0.00052 2
< 0.1%
0.00055 1
 
< 0.1%
0.00056 1
 
< 0.1%
0.00058 1
 
< 0.1%
0.00062 1
 
< 0.1%
0.00063 3
0.1%
0.00064 4
0.1%
ValueCountFrequency (%)
0.06956 1
< 0.1%
0.06084 1
< 0.1%
0.05724 1
< 0.1%
0.05689 1
< 0.1%
0.05513 1
< 0.1%
0.04917 1
< 0.1%
0.04744 1
< 0.1%
0.04617 1
< 0.1%
0.0435 1
< 0.1%
0.04341 1
< 0.1%

Jitter:DDP
Real number (ℝ)

HIGH CORRELATION 

Distinct1703
Distinct (%)29.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0089616766
Minimum0.00098
Maximum0.17263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:10.350415image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.00098
5-th percentile0.00296
Q10.00473
median0.00675
Q30.00987
95-th percentile0.021094
Maximum0.17263
Range0.17165
Interquartile range (IQR)0.00514

Descriptive statistics

Standard deviation0.0093714904
Coefficient of variation (CV)1.0457296
Kurtosis78.532426
Mean0.0089616766
Median Absolute Deviation (MAD)0.00236
Skewness6.9453757
Sum52.64985
Variance8.7824833 × 10-5
MonotonicityNot monotonic
2023-12-03T20:16:10.480291image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00358 17
 
0.3%
0.00493 17
 
0.3%
0.00578 17
 
0.3%
0.00508 16
 
0.3%
0.0057 15
 
0.3%
0.0058 15
 
0.3%
0.00667 14
 
0.2%
0.00442 14
 
0.2%
0.00499 14
 
0.2%
0.00525 13
 
0.2%
Other values (1693) 5723
97.4%
ValueCountFrequency (%)
0.00098 1
< 0.1%
0.00103 1
< 0.1%
0.00121 2
< 0.1%
0.00125 1
< 0.1%
0.00128 1
< 0.1%
0.00134 1
< 0.1%
0.00136 1
< 0.1%
0.00138 1
< 0.1%
0.00143 1
< 0.1%
0.00147 1
< 0.1%
ValueCountFrequency (%)
0.17263 1
< 0.1%
0.16352 1
< 0.1%
0.16304 1
< 0.1%
0.14883 1
< 0.1%
0.13567 1
< 0.1%
0.13068 1
< 0.1%
0.11937 1
< 0.1%
0.11463 1
< 0.1%
0.08932 1
< 0.1%
0.08822 1
< 0.1%

Shimmer
Real number (ℝ)

HIGH CORRELATION 

Distinct3581
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.034035217
Minimum0.00306
Maximum0.26863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:10.588861image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.00306
5-th percentile0.01205
Q10.01912
median0.02751
Q30.03975
95-th percentile0.074321
Maximum0.26863
Range0.26557
Interquartile range (IQR)0.02063

Descriptive statistics

Standard deviation0.025835158
Coefficient of variation (CV)0.75907134
Kurtosis15.240156
Mean0.034035217
Median Absolute Deviation (MAD)0.00963
Skewness3.3127926
Sum199.9569
Variance0.00066745538
MonotonicityNot monotonic
2023-12-03T20:16:10.698826image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01784 9
 
0.2%
0.01807 8
 
0.1%
0.03045 7
 
0.1%
0.01718 7
 
0.1%
0.01801 7
 
0.1%
0.02097 7
 
0.1%
0.01788 7
 
0.1%
0.02496 7
 
0.1%
0.01872 6
 
0.1%
0.01464 6
 
0.1%
Other values (3571) 5804
98.8%
ValueCountFrequency (%)
0.00306 1
< 0.1%
0.00344 1
< 0.1%
0.00379 1
< 0.1%
0.00406 1
< 0.1%
0.00455 1
< 0.1%
0.00483 1
< 0.1%
0.00494 1
< 0.1%
0.00502 1
< 0.1%
0.00504 1
< 0.1%
0.00516 1
< 0.1%
ValueCountFrequency (%)
0.26863 1
< 0.1%
0.23915 1
< 0.1%
0.22691 1
< 0.1%
0.22677 1
< 0.1%
0.22221 1
< 0.1%
0.21805 1
< 0.1%
0.21362 1
< 0.1%
0.20498 1
< 0.1%
0.20406 1
< 0.1%
0.20305 1
< 0.1%

Shimmer(dB)
Real number (ℝ)

HIGH CORRELATION 

Distinct852
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31096
Minimum0.026
Maximum2.107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:10.806596image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.026
5-th percentile0.111
Q10.175
median0.253
Q30.365
95-th percentile0.681
Maximum2.107
Range2.081
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.23025366
Coefficient of variation (CV)0.74046071
Kurtosis13.091042
Mean0.31096
Median Absolute Deviation (MAD)0.088
Skewness3.0992207
Sum1826.89
Variance0.053016749
MonotonicityNot monotonic
2023-12-03T20:16:10.908416image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.164 33
 
0.6%
0.201 31
 
0.5%
0.16 30
 
0.5%
0.178 27
 
0.5%
0.174 26
 
0.4%
0.156 26
 
0.4%
0.187 26
 
0.4%
0.208 26
 
0.4%
0.172 25
 
0.4%
0.17 25
 
0.4%
Other values (842) 5600
95.3%
ValueCountFrequency (%)
0.026 1
< 0.1%
0.03 1
< 0.1%
0.034 1
< 0.1%
0.035 1
< 0.1%
0.041 1
< 0.1%
0.045 1
< 0.1%
0.047 1
< 0.1%
0.049 1
< 0.1%
0.05 1
< 0.1%
0.051 1
< 0.1%
ValueCountFrequency (%)
2.107 1
< 0.1%
1.97 1
< 0.1%
1.937 1
< 0.1%
1.877 1
< 0.1%
1.872 1
< 0.1%
1.845 1
< 0.1%
1.828 1
< 0.1%
1.798 1
< 0.1%
1.797 1
< 0.1%
1.758 1
< 0.1%

Shimmer:APQ3
Real number (ℝ)

HIGH CORRELATION 

Distinct2664
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.017155704
Minimum0.00161
Maximum0.16267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:11.013719image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.00161
5-th percentile0.005407
Q10.00928
median0.0137
Q30.020575
95-th percentile0.039197
Maximum0.16267
Range0.16106
Interquartile range (IQR)0.011295

Descriptive statistics

Standard deviation0.013237118
Coefficient of variation (CV)0.77158698
Kurtosis14.724563
Mean0.017155704
Median Absolute Deviation (MAD)0.00519
Skewness3.097223
Sum100.78976
Variance0.00017522128
MonotonicityNot monotonic
2023-12-03T20:16:11.120345image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011 10
 
0.2%
0.00988 10
 
0.2%
0.00946 9
 
0.2%
0.0107 9
 
0.2%
0.01156 9
 
0.2%
0.00819 9
 
0.2%
0.01146 9
 
0.2%
0.01229 8
 
0.1%
0.01269 8
 
0.1%
0.00977 8
 
0.1%
Other values (2654) 5786
98.5%
ValueCountFrequency (%)
0.00161 1
< 0.1%
0.00172 1
< 0.1%
0.00178 1
< 0.1%
0.00185 1
< 0.1%
0.00193 1
< 0.1%
0.00205 1
< 0.1%
0.00211 1
< 0.1%
0.00214 2
< 0.1%
0.00217 1
< 0.1%
0.00221 1
< 0.1%
ValueCountFrequency (%)
0.16267 1
< 0.1%
0.14428 1
< 0.1%
0.12795 1
< 0.1%
0.11288 1
< 0.1%
0.10705 1
< 0.1%
0.10574 1
< 0.1%
0.10405 1
< 0.1%
0.10295 1
< 0.1%
0.10291 1
< 0.1%
0.10098 1
< 0.1%

Shimmer:APQ5
Real number (ℝ)

HIGH CORRELATION 

Distinct2850
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.020144184
Minimum0.00194
Maximum0.16702
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:11.234610image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.00194
5-th percentile0.006517
Q10.01079
median0.01594
Q30.023755
95-th percentile0.044909
Maximum0.16702
Range0.16508
Interquartile range (IQR)0.012965

Descriptive statistics

Standard deviation0.016663933
Coefficient of variation (CV)0.82723296
Kurtosis19.244339
Mean0.020144184
Median Absolute Deviation (MAD)0.00593
Skewness3.6980613
Sum118.34708
Variance0.00027768666
MonotonicityNot monotonic
2023-12-03T20:16:11.344990image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00986 9
 
0.2%
0.01977 8
 
0.1%
0.01029 8
 
0.1%
0.0137 8
 
0.1%
0.01457 8
 
0.1%
0.01002 8
 
0.1%
0.01175 8
 
0.1%
0.0154 8
 
0.1%
0.01078 8
 
0.1%
0.01452 8
 
0.1%
Other values (2840) 5794
98.6%
ValueCountFrequency (%)
0.00194 1
< 0.1%
0.00205 1
< 0.1%
0.00222 1
< 0.1%
0.00233 1
< 0.1%
0.00235 1
< 0.1%
0.00238 1
< 0.1%
0.00252 1
< 0.1%
0.00253 1
< 0.1%
0.00258 1
< 0.1%
0.00259 1
< 0.1%
ValueCountFrequency (%)
0.16702 1
< 0.1%
0.16246 1
< 0.1%
0.15498 1
< 0.1%
0.15359 1
< 0.1%
0.15279 1
< 0.1%
0.15212 1
< 0.1%
0.1517 1
< 0.1%
0.14887 1
< 0.1%
0.14876 1
< 0.1%
0.14779 1
< 0.1%

Shimmer:APQ11
Real number (ℝ)

HIGH CORRELATION 

Distinct3283
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.027480861
Minimum0.00249
Maximum0.27546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:11.455911image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.00249
5-th percentile0.00954
Q10.015665
median0.02271
Q30.032715
95-th percentile0.060179
Maximum0.27546
Range0.27297
Interquartile range (IQR)0.01705

Descriptive statistics

Standard deviation0.019986145
Coefficient of variation (CV)0.72727507
Kurtosis19.160187
Mean0.027480861
Median Absolute Deviation (MAD)0.00811
Skewness3.4069585
Sum161.45006
Variance0.00039944601
MonotonicityNot monotonic
2023-12-03T20:16:11.584810image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0156 8
 
0.1%
0.0313 7
 
0.1%
0.01425 7
 
0.1%
0.02306 7
 
0.1%
0.02282 6
 
0.1%
0.01995 6
 
0.1%
0.01296 6
 
0.1%
0.01449 6
 
0.1%
0.01277 6
 
0.1%
0.01372 6
 
0.1%
Other values (3273) 5810
98.9%
ValueCountFrequency (%)
0.00249 1
< 0.1%
0.00292 1
< 0.1%
0.00296 1
< 0.1%
0.00299 1
< 0.1%
0.00318 1
< 0.1%
0.0032 2
< 0.1%
0.00346 1
< 0.1%
0.00375 1
< 0.1%
0.00378 1
< 0.1%
0.00386 1
< 0.1%
ValueCountFrequency (%)
0.27546 1
< 0.1%
0.24711 1
< 0.1%
0.20585 1
< 0.1%
0.18636 1
< 0.1%
0.17915 1
< 0.1%
0.17668 1
< 0.1%
0.17611 1
< 0.1%
0.17411 1
< 0.1%
0.16991 1
< 0.1%
0.1686 1
< 0.1%

Shimmer:DDA
Real number (ℝ)

HIGH CORRELATION 

Distinct4223
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.051466941
Minimum0.00484
Maximum0.48802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:11.690809image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.00484
5-th percentile0.016214
Q10.02783
median0.04111
Q30.061735
95-th percentile0.117591
Maximum0.48802
Range0.48318
Interquartile range (IQR)0.033905

Descriptive statistics

Standard deviation0.039711393
Coefficient of variation (CV)0.7715903
Kurtosis14.7246
Mean0.051466941
Median Absolute Deviation (MAD)0.01556
Skewness3.097224
Sum302.36828
Variance0.0015769947
MonotonicityNot monotonic
2023-12-03T20:16:11.795969image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05902 6
 
0.1%
0.03806 6
 
0.1%
0.02458 6
 
0.1%
0.03299 5
 
0.1%
0.02575 5
 
0.1%
0.04317 5
 
0.1%
0.03019 5
 
0.1%
0.02275 5
 
0.1%
0.01909 5
 
0.1%
0.02589 5
 
0.1%
Other values (4213) 5822
99.1%
ValueCountFrequency (%)
0.00484 1
< 0.1%
0.00515 1
< 0.1%
0.00533 1
< 0.1%
0.00554 1
< 0.1%
0.0058 1
< 0.1%
0.00616 1
< 0.1%
0.00632 1
< 0.1%
0.00641 1
< 0.1%
0.00643 1
< 0.1%
0.00651 1
< 0.1%
ValueCountFrequency (%)
0.48802 1
< 0.1%
0.43283 1
< 0.1%
0.38385 1
< 0.1%
0.33863 1
< 0.1%
0.32114 1
< 0.1%
0.31721 1
< 0.1%
0.31216 1
< 0.1%
0.30884 1
< 0.1%
0.30874 1
< 0.1%
0.30293 1
< 0.1%

NHR
Real number (ℝ)

HIGH CORRELATION 

Distinct5532
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.032119818
Minimum0.000286
Maximum0.74826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:11.918471image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.000286
5-th percentile0.0041235
Q10.010955
median0.018448
Q30.031463
95-th percentile0.0868379
Maximum0.74826
Range0.747974
Interquartile range (IQR)0.020508

Descriptive statistics

Standard deviation0.059692306
Coefficient of variation (CV)1.858426
Kurtosis52.606172
Mean0.032119818
Median Absolute Deviation (MAD)0.00924
Skewness6.5491226
Sum188.70393
Variance0.0035631713
MonotonicityNot monotonic
2023-12-03T20:16:12.059943image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.028055 3
 
0.1%
0.005335 3
 
0.1%
0.008311 3
 
0.1%
0.013965 3
 
0.1%
0.023978 3
 
0.1%
0.007452 3
 
0.1%
0.0155 3
 
0.1%
0.004856 3
 
0.1%
0.012619 3
 
0.1%
0.008019 3
 
0.1%
Other values (5522) 5845
99.5%
ValueCountFrequency (%)
0.000286 1
< 0.1%
0.000304 1
< 0.1%
0.000626 1
< 0.1%
0.000627 1
< 0.1%
0.000665 1
< 0.1%
0.000774 1
< 0.1%
0.000883 1
< 0.1%
0.000993 1
< 0.1%
0.00105 1
< 0.1%
0.001121 1
< 0.1%
ValueCountFrequency (%)
0.74826 1
< 0.1%
0.73899 1
< 0.1%
0.72537 1
< 0.1%
0.72405 1
< 0.1%
0.70867 1
< 0.1%
0.70644 1
< 0.1%
0.70463 1
< 0.1%
0.68277 1
< 0.1%
0.64281 1
< 0.1%
0.64109 1
< 0.1%

HNR
Real number (ℝ)

HIGH CORRELATION 

Distinct4780
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.679495
Minimum1.659
Maximum37.875
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:12.174255image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum1.659
5-th percentile14.9355
Q119.406
median21.92
Q324.444
95-th percentile27.93
Maximum37.875
Range36.216
Interquartile range (IQR)5.038

Descriptive statistics

Standard deviation4.2910963
Coefficient of variation (CV)0.1979334
Kurtosis2.5051585
Mean21.679495
Median Absolute Deviation (MAD)2.518
Skewness-0.81205737
Sum127367.03
Variance18.413507
MonotonicityNot monotonic
2023-12-03T20:16:12.501695image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.581 5
 
0.1%
19.988 5
 
0.1%
23.408 5
 
0.1%
24.17 5
 
0.1%
24.312 4
 
0.1%
25.405 4
 
0.1%
24.941 4
 
0.1%
20.712 4
 
0.1%
22.184 4
 
0.1%
22.677 4
 
0.1%
Other values (4770) 5831
99.3%
ValueCountFrequency (%)
1.659 1
< 0.1%
1.799 1
< 0.1%
1.811 1
< 0.1%
1.853 1
< 0.1%
1.945 1
< 0.1%
1.998 1
< 0.1%
2.206 1
< 0.1%
2.236 1
< 0.1%
2.945 1
< 0.1%
2.964 1
< 0.1%
ValueCountFrequency (%)
37.875 1
< 0.1%
37.187 1
< 0.1%
36.448 1
< 0.1%
36.309 1
< 0.1%
35.375 1
< 0.1%
34.836 1
< 0.1%
34.795 1
< 0.1%
34.555 1
< 0.1%
34.457 1
< 0.1%
33.867 1
< 0.1%

RPDE
Real number (ℝ)

HIGH CORRELATION 

Distinct5430
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.54147293
Minimum0.15102
Maximum0.96608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:12.629342image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.15102
5-th percentile0.375774
Q10.469785
median0.54225
Q30.614045
95-th percentile0.70127
Maximum0.96608
Range0.81506
Interquartile range (IQR)0.14426

Descriptive statistics

Standard deviation0.10098579
Coefficient of variation (CV)0.186502
Kurtosis-0.065036155
Mean0.54147293
Median Absolute Deviation (MAD)0.07199
Skewness-0.037434387
Sum3181.1535
Variance0.010198129
MonotonicityNot monotonic
2023-12-03T20:16:12.768148image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.56557 3
 
0.1%
0.43119 3
 
0.1%
0.43336 3
 
0.1%
0.59353 3
 
0.1%
0.499 3
 
0.1%
0.56806 3
 
0.1%
0.58904 3
 
0.1%
0.52472 3
 
0.1%
0.55094 3
 
0.1%
0.50858 3
 
0.1%
Other values (5420) 5845
99.5%
ValueCountFrequency (%)
0.15102 1
< 0.1%
0.20105 1
< 0.1%
0.20929 1
< 0.1%
0.21622 1
< 0.1%
0.23945 1
< 0.1%
0.24663 1
< 0.1%
0.24871 1
< 0.1%
0.24933 1
< 0.1%
0.24934 1
< 0.1%
0.25075 1
< 0.1%
ValueCountFrequency (%)
0.96608 1
< 0.1%
0.94792 1
< 0.1%
0.93507 1
< 0.1%
0.92615 1
< 0.1%
0.92236 1
< 0.1%
0.91559 1
< 0.1%
0.90894 1
< 0.1%
0.88808 1
< 0.1%
0.88661 1
< 0.1%
0.88634 1
< 0.1%

DFA
Real number (ℝ)

Distinct5282
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65323966
Minimum0.51404
Maximum0.8656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:12.884623image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.51404
5-th percentile0.549568
Q10.59618
median0.6436
Q30.711335
95-th percentile0.773601
Maximum0.8656
Range0.35156
Interquartile range (IQR)0.115155

Descriptive statistics

Standard deviation0.070901996
Coefficient of variation (CV)0.10853903
Kurtosis-0.88024561
Mean0.65323966
Median Absolute Deviation (MAD)0.05607
Skewness0.28207846
Sum3837.783
Variance0.005027093
MonotonicityNot monotonic
2023-12-03T20:16:12.986594image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.589 4
 
0.1%
0.58845 4
 
0.1%
0.64624 4
 
0.1%
0.57965 4
 
0.1%
0.59545 4
 
0.1%
0.63834 3
 
0.1%
0.59657 3
 
0.1%
0.5939 3
 
0.1%
0.56186 3
 
0.1%
0.73296 3
 
0.1%
Other values (5272) 5840
99.4%
ValueCountFrequency (%)
0.51404 1
< 0.1%
0.51468 1
< 0.1%
0.51655 1
< 0.1%
0.51687 1
< 0.1%
0.51782 1
< 0.1%
0.51903 1
< 0.1%
0.51971 1
< 0.1%
0.51977 2
< 0.1%
0.52092 1
< 0.1%
0.52114 1
< 0.1%
ValueCountFrequency (%)
0.8656 1
< 0.1%
0.8592 1
< 0.1%
0.84083 1
< 0.1%
0.83627 1
< 0.1%
0.8286 1
< 0.1%
0.82298 1
< 0.1%
0.822 1
< 0.1%
0.82148 1
< 0.1%
0.82109 1
< 0.1%
0.81901 1
< 0.1%

PPE
Real number (ℝ)

HIGH CORRELATION 

Distinct4777
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21958918
Minimum0.021983
Maximum0.73173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size46.0 KiB
2023-12-03T20:16:13.119468image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Quantile statistics

Minimum0.021983
5-th percentile0.099762
Q10.15634
median0.2055
Q30.26449
95-th percentile0.396067
Maximum0.73173
Range0.709747
Interquartile range (IQR)0.10815

Descriptive statistics

Standard deviation0.091498494
Coefficient of variation (CV)0.41668034
Kurtosis1.9517927
Mean0.21958918
Median Absolute Deviation (MAD)0.0533
Skewness1.0908189
Sum1290.0864
Variance0.0083719744
MonotonicityNot monotonic
2023-12-03T20:16:13.223978image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.086541 15
 
0.3%
0.092377 11
 
0.2%
0.095174 10
 
0.2%
0.10562 10
 
0.2%
0.13455 10
 
0.2%
0.13399 9
 
0.2%
0.10054 9
 
0.2%
0.1386 9
 
0.2%
0.10806 9
 
0.2%
0.080358 8
 
0.1%
Other values (4767) 5775
98.3%
ValueCountFrequency (%)
0.021983 1
< 0.1%
0.02321 1
< 0.1%
0.026336 1
< 0.1%
0.02761 2
< 0.1%
0.028277 1
< 0.1%
0.032858 2
< 0.1%
0.033166 1
< 0.1%
0.033362 1
< 0.1%
0.035155 1
< 0.1%
0.037631 1
< 0.1%
ValueCountFrequency (%)
0.73173 1
< 0.1%
0.73152 1
< 0.1%
0.69056 1
< 0.1%
0.6779 1
< 0.1%
0.64991 1
< 0.1%
0.64669 1
< 0.1%
0.64235 1
< 0.1%
0.6189 1
< 0.1%
0.61445 1
< 0.1%
0.60333 1
< 0.1%

Interactions

2023-12-03T20:16:04.792452image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:17.326770image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:19.846950image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:22.030193image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:24.355031image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:26.993108image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.445340image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:31.909823image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:34.123271image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:36.584422image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:38.880274image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:41.070761image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.410316image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:45.431313image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:48.199473image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:50.409119image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:52.933137image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:55.099642image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:57.475668image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:00.026134image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:02.319720image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:04.888310image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:17.439885image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:19.931260image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:22.139751image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:24.446895image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:27.091346image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.537031image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:31.996524image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:34.217429image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:36.682347image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:38.981159image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:41.177179image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.499164image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:45.526602image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:48.298918image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:50.522420image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:53.020576image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:55.200630image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:57.562048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:00.130149image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:02.413625image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:05.017361image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:17.524545image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:20.017126image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:22.258329image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:24.537352image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:27.214358image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.647321image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:32.087985image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:34.306773image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:36.776961image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:39.084368image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:41.284789image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.585970image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:45.652210image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:48.388899image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:50.619043image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:53.127385image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:55.296779image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:57.653852image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:00.225218image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:02.507932image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:05.144018image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:17.643595image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:20.099813image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:22.376914image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:24.630072image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:27.337146image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.738101image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:32.179358image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:34.401313image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:36.872371image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:39.207851image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:41.375719image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.686316image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:45.752512image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:48.493300image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:50.743283image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:53.214621image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:55.387475image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:57.748005image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:00.331405image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:02.599239image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:05.270298image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:17.746185image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:20.194242image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:22.511536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:24.779647image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:27.463450image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.835562image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:32.277940image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:34.501825image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:37.007756image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:39.314048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:41.473119image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.779249image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:45.856170image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:48.599980image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:50.877560image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:53.310972image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:55.488281image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:58.074752image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:00.435669image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:02.695880image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:05.392992image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:17.871382image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:20.283918image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:22.636655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:24.920949image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:27.584606image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.925383image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:32.366879image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:34.594907image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:37.132278image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:39.411070image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:41.563797image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.871561image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:45.990485image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:48.735788image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:51.001190image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:53.400733image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:55.616385image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:58.169156image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:00.531250image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:02.790374image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:05.522217image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:17.964256image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:20.386832image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:22.732501image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:25.058233image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:27.711679image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:30.017485image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:32.459693image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:34.695536image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:37.245048image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:39.508456image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:41.878115image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.964500image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:46.139663image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:48.855676image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:51.091120image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:53.523766image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:55.748135image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:58.266019image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:00.629877image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
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2023-12-03T20:15:42.912227image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:44.905874image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:47.601775image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:49.885481image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:52.162022image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:54.546163image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:56.915379image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:59.381824image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:01.780497image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:04.292982image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:06.852680image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:19.286613image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:21.549133image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:23.957215image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:26.529167image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.025376image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:31.514369image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:33.704306image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:35.894827image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:38.463390image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:40.581801image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.016377image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:44.997781image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:47.732678image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:49.990712image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:52.257205image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:54.644211image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:57.063156image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:59.534586image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:01.903730image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:04.393336image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:06.968895image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:19.398926image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:21.685787image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:24.050774image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:26.666948image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.140658image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:31.610770image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:33.800579image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:35.989315image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:38.563526image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:40.681008image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.117349image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:45.090271image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:47.859437image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:50.092170image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:52.354257image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:54.740896image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:57.164930image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:59.633593image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:02.006154image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:04.494809image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:07.116818image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:19.495452image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:21.818708image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:24.159823image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:26.793477image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.253857image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:31.710878image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:33.930480image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:36.108515image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:38.670165image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:40.839149image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.219639image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:45.211026image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:47.972446image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:50.197291image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:52.701341image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:54.845567image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:57.266375image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:59.742283image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:02.118478image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:04.597159image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:07.261655image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:19.753329image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:21.936647image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:24.256532image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:26.892946image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:29.348298image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:31.813459image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:34.025777image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:36.258247image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:38.784363image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:40.953955image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:43.317975image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:45.304578image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:48.083938image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:50.302054image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:52.796692image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:54.977728image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:57.376252image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:15:59.888679image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:02.219772image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
2023-12-03T20:16:04.694937image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/

Correlations

2023-12-03T20:16:13.341380image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
subject#agetest_timemotor_UPDRStotal_UPDRSJitter(%)Jitter(Abs)Jitter:RAPJitter:PPQ5Jitter:DDPShimmerShimmer(dB)Shimmer:APQ3Shimmer:APQ5Shimmer:APQ11Shimmer:DDANHRHNRRPDEDFAPPEsex
subject#1.000-0.0100.0000.2420.2750.1470.0720.1440.1330.1440.0840.0720.0620.0670.1100.0620.124-0.1680.1400.1040.1440.400
age-0.0101.0000.0120.3030.3190.1710.1310.1390.1690.1390.2740.2770.2410.2610.3010.2410.171-0.1840.135-0.0910.1840.463
test_time0.0000.0121.0000.0590.062-0.007-0.008-0.017-0.005-0.017-0.026-0.021-0.019-0.023-0.030-0.019-0.0260.033-0.0390.018-0.0040.090
motor_UPDRS0.2420.3030.0591.0000.9580.1280.0720.1070.1200.1070.1360.1400.1140.1210.1640.1140.136-0.1580.118-0.1310.1630.121
total_UPDRS0.2750.3190.0620.9581.0000.1290.1040.1090.1180.1090.1380.1400.1200.1250.1610.1200.144-0.1620.150-0.1420.1550.240
Jitter(%)0.1470.171-0.0070.1280.1291.0000.9020.9560.9590.9560.6530.6730.6160.6220.6350.6160.798-0.7570.5290.4410.8450.123
Jitter(Abs)0.0720.131-0.0080.0720.1040.9021.0000.8220.8870.8220.6250.6340.5800.6060.6350.5800.746-0.7570.6340.4950.8040.246
Jitter:RAP0.1440.139-0.0170.1070.1090.9560.8221.0000.9481.0000.6450.6570.6320.6170.5990.6320.745-0.7270.4450.4300.7720.106
Jitter:PPQ50.1330.169-0.0050.1200.1180.9590.8870.9481.0000.9480.6870.6990.6570.6670.6680.6570.753-0.7900.5100.4800.8440.159
Jitter:DDP0.1440.139-0.0170.1070.1090.9560.8221.0000.9481.0000.6450.6570.6320.6170.5990.6320.745-0.7270.4450.4300.7720.106
Shimmer0.0840.274-0.0260.1360.1380.6530.6250.6450.6870.6451.0000.9860.9830.9900.9620.9830.651-0.7980.4780.2840.6400.230
Shimmer(dB)0.0720.277-0.0210.1400.1400.6730.6340.6570.6990.6570.9861.0000.9630.9720.9500.9630.684-0.7840.4700.2630.6570.238
Shimmer:APQ30.0620.241-0.0190.1140.1200.6160.5800.6320.6570.6320.9830.9631.0000.9810.9151.0000.620-0.7780.4280.2580.5900.186
Shimmer:APQ50.0670.261-0.0230.1210.1250.6220.6060.6170.6670.6170.9900.9720.9811.0000.9590.9810.621-0.7920.4560.2860.6210.241
Shimmer:APQ110.1100.301-0.0300.1640.1610.6350.6350.5990.6680.5990.9620.9500.9150.9591.0000.9150.620-0.7890.5040.3070.6620.217
Shimmer:DDA0.0620.241-0.0190.1140.1200.6160.5800.6320.6570.6320.9830.9631.0000.9810.9151.0000.620-0.7780.4280.2580.5900.186
NHR0.1240.171-0.0260.1360.1440.7980.7460.7450.7530.7450.6510.6840.6200.6210.6200.6201.000-0.7590.6040.1470.7290.208
HNR-0.168-0.1840.033-0.158-0.162-0.757-0.757-0.727-0.790-0.727-0.798-0.784-0.778-0.792-0.789-0.778-0.7591.000-0.646-0.359-0.7550.254
RPDE0.1400.135-0.0390.1180.1500.5290.6340.4450.5100.4450.4780.4700.4280.4560.5040.4280.604-0.6461.0000.1900.5480.245
DFA0.104-0.0910.018-0.131-0.1420.4410.4950.4300.4800.4300.2840.2630.2580.2860.3070.2580.147-0.3590.1901.0000.4150.195
PPE0.1440.184-0.0040.1630.1550.8450.8040.7720.8440.7720.6400.6570.5900.6210.6620.5900.729-0.7550.5480.4151.0000.255
sex0.4000.4630.0900.1210.2400.1230.2460.1060.1590.1060.2300.2380.1860.2410.2170.1860.2080.2540.2450.1950.2551.000

Missing values

2023-12-03T20:16:07.429293image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-03T20:16:07.692868image/svg+xmlMatplotlib v3.5.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

subject#agesextest_timemotor_UPDRStotal_UPDRSJitter(%)Jitter(Abs)Jitter:RAPJitter:PPQ5Jitter:DDPShimmerShimmer(dB)Shimmer:APQ3Shimmer:APQ5Shimmer:APQ11Shimmer:DDANHRHNRRPDEDFAPPE
017205.643128.19934.3980.006620.0000340.004010.003170.012040.025650.2300.014380.013090.016620.043140.01429021.6400.418880.548420.16006
1172012.666028.44734.8940.003000.0000170.001320.001500.003950.020240.1790.009940.010720.016890.029820.01111227.1830.434930.564770.10810
2172019.681028.69535.3890.004810.0000250.002050.002080.006160.016750.1810.007340.008440.014580.022020.02022023.0470.462220.544050.21014
3172025.647028.90535.8100.005280.0000270.001910.002640.005730.023090.3270.011060.012650.019630.033170.02783724.4450.487300.577940.33277
4172033.642029.18736.3750.003350.0000200.000930.001300.002780.017030.1760.006790.009290.018190.020360.01162526.1260.471880.561220.19361
5172040.652029.43536.8700.003530.0000230.001190.001590.003570.022270.2140.010060.013370.022630.030190.00943822.9460.539490.572430.19500
6172047.649029.68237.3630.004220.0000240.002120.002210.006370.043520.4450.023760.026210.034880.071280.01326022.5060.492500.547790.17563
7172054.640029.92837.8570.004760.0000250.002260.002590.006780.021910.2120.009790.014620.019110.029370.02796922.9290.477120.542340.23844
8172061.669030.17738.3530.004320.0000290.001560.002070.004680.042960.3710.017740.021340.034510.053230.01338122.0780.515630.618640.20037
9172068.688030.42438.8490.004960.0000270.002580.002530.007730.036100.3100.020300.019700.025690.060890.01802122.6060.500320.586730.20117
subject#agesextest_timemotor_UPDRStotal_UPDRSJitter(%)Jitter(Abs)Jitter:RAPJitter:PPQ5Jitter:DDPShimmerShimmer(dB)Shimmer:APQ3Shimmer:APQ5Shimmer:APQ11Shimmer:DDANHRHNRRPDEDFAPPE
586542610106.7625.02936.0290.003290.0000240.001440.001320.004320.020450.1800.010200.012870.017760.030590.01037724.8730.519830.566680.113820
586642610115.6524.40135.4010.004480.0000360.002080.002260.006250.023860.2130.011210.014750.019710.033620.03573821.2520.629570.579420.245670
586742610121.6323.97934.9790.002500.0000190.001160.001360.003470.022170.1930.011040.013160.019870.033130.01223420.6610.472560.571770.139550
586842610128.6723.48234.4820.002490.0000210.000660.001040.001980.016130.1420.004690.007730.019970.014060.00745225.2580.529760.543780.088268
586942610136.8022.90833.9080.002740.0000210.001180.001380.003550.025260.2180.013750.015950.021080.041260.00605823.9350.453570.561420.134460
587042610142.7922.48533.4850.004060.0000310.001670.001680.005000.018960.1600.009730.011330.015490.029200.02513722.3690.642150.553140.213670
587142610149.8421.98832.9880.002970.0000250.001190.001470.003580.023150.2150.010520.012770.019040.031570.01192722.8860.525980.565180.126210
587242610156.8221.49532.4950.003490.0000250.001520.001870.004560.024990.2440.013710.014560.018770.041120.01770125.0650.477920.578880.141570
587342610163.7321.00732.0070.002810.0000200.001280.001510.003830.014840.1310.006930.008700.013070.020780.00798424.4220.568650.563270.142040
587442610170.7320.51331.5130.002820.0000210.001350.001660.004060.019070.1710.009460.011540.014700.028390.00817223.2590.586080.570770.153360